Yue Su

639 total citations · 1 hit paper
11 papers, 396 citations indexed

About

Yue Su is a scholar working on Infectious Diseases, Health and Social Psychology. According to data from OpenAlex, Yue Su has authored 11 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Health and 3 papers in Social Psychology. Recurrent topics in Yue Su's work include Mental Health via Writing (3 papers), Misinformation and Its Impacts (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Yue Su is often cited by papers focused on Mental Health via Writing (3 papers), Misinformation and Its Impacts (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Yue Su collaborates with scholars based in China, Canada and Hong Kong. Yue Su's co-authors include Tingshao Zhu, Jia Xue, Junxiang Chen, Chen Chen, Ran Hu, Chengda Zheng, Peijing Wu, Xiaoqian Liu, Tianli Liu and Sijia Li and has published in prestigious journals such as Frontiers in Immunology, International Journal of Environmental Research and Public Health and Journal of Medical Internet Research.

In The Last Decade

Yue Su

9 papers receiving 391 citations

Hit Papers

Twitter Discussions and Emotions About the COVID-19 Pande... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yue Su China 7 233 131 92 73 69 11 396
Chengda Zheng Canada 5 301 1.3× 231 1.8× 82 0.9× 52 0.7× 96 1.4× 7 507
Danny Valdez United States 11 224 1.0× 111 0.8× 139 1.5× 76 1.0× 61 0.9× 50 563
Emily Seltzer United States 7 217 0.9× 65 0.5× 72 0.8× 36 0.5× 66 1.0× 13 440
Wang Liao United States 9 200 0.9× 58 0.4× 43 0.5× 98 1.3× 65 0.9× 25 398
Garrick Sherman United States 10 167 0.7× 114 0.9× 118 1.3× 96 1.3× 24 0.3× 36 431
Lyle Ungar United States 2 207 0.9× 86 0.7× 47 0.5× 39 0.5× 70 1.0× 4 478
Ryan J. B. Garcia United States 4 394 1.7× 83 0.6× 54 0.6× 53 0.7× 130 1.9× 5 472
Wenjing Pian China 9 189 0.8× 84 0.6× 42 0.5× 26 0.4× 60 0.9× 13 373
Thomas Frissen Belgium 7 244 1.0× 47 0.4× 59 0.6× 87 1.2× 64 0.9× 11 352
Vidya Purushothaman United States 10 233 1.0× 104 0.8× 26 0.3× 42 0.6× 58 0.8× 28 470

Countries citing papers authored by Yue Su

Since Specialization
Citations

This map shows the geographic impact of Yue Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yue Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Su more than expected).

Fields of papers citing papers by Yue Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yue Su. The network helps show where Yue Su may publish in the future.

Co-authorship network of co-authors of Yue Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Su. A scholar is included among the top collaborators of Yue Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue Su. Yue Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Du, Jingli, Yue Su, Juan Qiao, et al.. (2024). Application of artificial intelligence in diagnosis of pulmonary tuberculosis. Chinese Medical Journal. 137(5). 559–561. 12 indexed citations
2.
Du, Jingli, Yue Su, Juan Qiao, et al.. (2023). LTBI-negative close contacts of tuberculosis are more likely to develop the disease: enlightenment and lessons from a cluster outbreak. Frontiers in Public Health. 11. 1136355–1136355. 2 indexed citations
3.
Su, Yue, Sijia Li, Jia Xue, Ang Li, & Tingshao Zhu. (2023). Measuring the importance of influencing factor for COVID-19 vaccination intention in China. Frontiers in Public Health. 11. 1191401–1191401.
4.
Li, Sijia, et al.. (2023). How social media expression can reveal personality. Frontiers in Psychiatry. 14. 1052844–1052844. 5 indexed citations
5.
Du, Jingli, et al.. (2023). Research progress on specific and non-specific immune effects of BCG and the possibility of BCG protection against COVID-19. Frontiers in Immunology. 14. 1118378–1118378. 8 indexed citations
6.
Su, Yue, Sijia Li, Feng Huang, Jia Xue, & Tingshao Zhu. (2023). Exploring the Influencing Factors of COVID-19 Vaccination Willingness among Young Adults in China. International Journal of Environmental Research and Public Health. 20(5). 3960–3960. 7 indexed citations
8.
Su, Yue, et al.. (2021). Identifying psychological indexes based on social media data: A machine learning method. Advances in Psychological Science. 29(4). 571–585. 8 indexed citations
9.
Xue, Jia, Junxiang Chen, Ran Hu, et al.. (2020). Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach. Journal of Medical Internet Research. 22(11). e20550–e20550. 239 indexed citations breakdown →
10.
Su, Yue, Jia Xue, Xiaoqian Liu, et al.. (2020). Examining the Impact of COVID-19 Lockdown in Wuhan and Lombardy: A Psycholinguistic Analysis on Weibo and Twitter. International Journal of Environmental Research and Public Health. 17(12). 4552–4552. 89 indexed citations
11.
Su, Yue, Peijing Wu, Sijia Li, Jia Xue, & Tingshao Zhu. (2020). Public emotion responses during COVID ‐19 in China on social media: An observational study. Human Behavior and Emerging Technologies. 3(1). 127–136. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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